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This is a database analytics engine that goes to where the data resides, rather than the conventional other way around.

Database administrators will sit up and take notice at that statement; they’re used to tricky, tedious and time-consuming data uploads and downloads that are always the biggest headache in any workload deployment.

“We subscribe to the idea of ‘analyze in the right place.’ There’s too much data out there to put it all in one place,” Joy King, Vice-President of Product Management, Product Marketing and Field Engagement at Vertica told eWEEK. “It was a good idea in the old days, when there was a lot less data, a lot fewer formats, and a lot less confusion. Now it’s about applying advance analytics in the database without having to move data, downsample the data--without having to limit yourself.”

Further reading

Micro Focus’s Vertica 9 analytics platform introduces a list of in-database machine learning capabilities, including new algorithms, model replication, data preparation functions and continuous end-to-end workflow. All are designed to simplify the production and deployment of machine-learning models.

Vertica 9, destined to become available for deployment through the Google Marketplace in October, also has a deep integration with Microsoft Azure. In addition, Vertica 9 natively integrates with key ecosystem technologies and open source innovation, including Microsoft PowerBI, Cloudera Manager and Apache Spark 2.1.

Enterprises can use Vertica 9’s flexible and expanded deployment options across on-premises, private and public clouds, and on Hadoop and AWS S3 data lakes in order to adopt a best-fit analytical solution. This affords them the broadest choices on where, how, and when they run analytics, supported by new provisioning and administrative UIs built specifically for the cloud.

Beta Release of Vertica Eon Mode

Micro Focus also announced the beta release of Vertica in Eon Mode, which enables organizations to evaluate the separation of compute and storage for Amazon Web Services (AWS) deployments. Companies in the AWS ecosystem will be able to use AWS S3 for storage and Vertica’s query-optimized analytics engine for processing speed to capitalize on cloud economics.

Vertica’s Eon Mode architecture, offering separation of compute and storage, provides fast elastic scaling up and down on the Vertica cluster, with just-in-time workload-based provisioning.

An intelligent new caching mechanism on the nodes enables organizations to benefit from Vertica's high-performance querying. Companies in the AWS ecosystem will be able to use AWS S3 for storage and Vertica’s query-optimized analytics engine for processing speed to capitalize on cloud economics.

So there are plenty of options in deploying Vertica, for development or production purposes. Choices are always good.

Vertica Looking Ahead as an Independent Business Entity

Marketwise, Vertica has built up a lot of brand equity and customer loyalty since its founding in 2005 and its acquisition by HPE in March 2011. The company is not about to let that all slip away under the flag of another company, even though Vertica has an excellent relationship with Micro Focus and its new CEO, Chris Hsu.

“There are really two roles for Vertica in the new company,” King said. “One is the ‘analytics built in’ secret sauce: the ability to take every aspect of DevOps, IT development, IT operations and security and truly differentiate the (Micro Focus) portfolio with embedded analytics.

“The other part that is important is they (Micro Focus) see Vertica as a growth engine for the company. That’s why on Day 1, MicroFocus.com is there, and Vertica.com continues and will continue.”

Micro Focus and Vertica will co-brand their products now and into the future, King said.

“Vertica is not becoming Micro Focus; Vertica is still Vertica, and all of our marketing and go-to-market will be co-branded with Micro Focus. All of our independent messaging, brand equity, and strategy is a growth-engine model,” King said.